Data mining is one of the key hidden gems inside of Analysis Services but has traditionally had a steep learning curve. In this session, you'll learn how to create a data mining model to predict who is the best customer for you and learn how to use other algorithms to spend your marketing model wisely. You'll also see how to use Time Series analysis for budget and forecast prediction. Finally, you'll learn how to integrate data mining into your application through SSIS or custom coding.

Check Out Our SSAS Blog - http://blog.pragmaticworks.com/topic/ssas In this session, you’ll learn how to build a highly efficient analytical platform by using Analysis Services (SSAS). You’ll learn the how to create and configure a cube to pre-aggregate your data and then how to create hierarchies to make your users more effective. Lastly, you will learn about the major difference between Multidimensional and Tabular Analysis Services and how each play different roles.

This video shows how to use Business Intelligence Development Studio (BIDS) to create an data cube for SQL Server Analysis Server 2008
This demo shows how to:
Use BIDS to create a data model project
Create Data Sources, Data Views, Dimensions, & Cubes
Deploy the project to SSAS 2008

In this video, we discuss the new Analysis Services features in SQL Server 2017. We will cover Power Query connectivity, modeling enhancements such as Detail Rows allowing users to easily see transactional records, and improved support for ragged hierarchies. Download SQL Server 2017: Now on Windows, Linux, and Docker: https://aka.ms/sqlserver17linuxyt

"Watch Sample Class Recording:
http://www.edureka.co/microsoft-bi?utm_source=youtube&utm_medium=referral&utm_campaign=realtime-ssas-cube-design
SSAS Cube Design will help you in understanding SQL Server Analysis Services Overview and its Architecture. It also covers various types of SSAS models along with designing dimensions and measure groups.
You will also learn about SSAS Administration with prime focus on deployment and processing.
This Video talks about SSAS Cube Design in MSBI.
Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world. The topics related to Realtime ‘SSAS Cube Design’ have been covered in our course ‘Microsoft BI‘. For more information, please write back to us at [email protected]
Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004

Watch the full video here - http://pragmaticworks.com/LearningCenter/FreeTrainingWebinars/PastWebinars.aspx?ResourceId=613
Data mining is one of the key hidden gems inside of Analysis Services but has traditionally had a steep learning curve. In this session, you'll learn how to create a data mining model to predict who is the best customer for you and learn how to use other algorithms to spend your marketing model wisely. You'll also see how to use Time Series analysis for budget and forecast prediction. Finally, you'll learn how to integrate data mining into your application through SSIS or custom coding.
Intelligent Data Solutions - http://pragmaticworks.com/PragmaticWorksHome.aspx

A Key Performance Indicators (KPI) help a business organizations define and measure progress toward meeting its goals. See more lessons http://www.learn-with-video-tutorials.com/analysis-services-video-tutorial

Watch the full HD course: http://pluralsight.com/training/courses/TableOfContents?courseName=ssas-adv
Deploying a complex SQL Server Analysis cube requires a bit more than a push of a button, but in this video from Stacia Misner's new course Advanced Analysis Services you'll see how to deploy a cube including merged partitions. In the full course Stacia also covers topics such as custom rollups, dimension writebacks, and dynamic security.
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Push your limits. Expand your potential. Smarter than yesterday-
https://www.youtube.com/watch?v=k2s77i9zTek
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This video is part of LearnItFirst's SQL Server 2008/R2 Analysis Services course. More information on this video and course is available here:
http://www.learnitfirst.com/Course165
In this video Scott will walk you through how to move a database (server to server, instance to instance, disk to disk, and folder to folder) in analysis services. There is a new feature in SSAS 2008 that will allow you to attach and detach an Analysis Services database.
Highlights from this video:
- What is the purpose of attach and detach?
- Detach cannot have an open connection
- Different techniques to move a database
- Attach
- Backup and restore (covered in next video)
- How to detach and attach an Analysis Services database
and much more...

Your users are begging to see your data in an easy to consume tool but they're not tech savvy enough to understand how to build their own Power Pivot models. This session will show you how to use SQL Server 2014 to build Analysis Services Multidimensional Cubes, which has the most power to consume even the most complex data warehouse designs. Empower your users to discover and explore your data through an IT vetted data source.

This video is part of LearnItFirst's SQL Server 2012: A Comprehensive Introduction course. More information on this video and course is available here:
http://www.learnitfirst.com/Course170
In this video, we walk through the basics of the MDX Query language. It is a very logical language, however, is somewhat large in syntax. If you enjoy writing Transact-SQL, you will really enjoy the MDX language. The AdventureWorks2012 multidimensional models need to be installed on your SSAS Multidimensional mode instance from the CodePlex web site.
Highlights from this video:
- The basics of an MDX query
- What is the basic format of the MDX query language?
- Is it necessary to have a WHERE clause in an MDX query?
- How to signal the end of a statement in the MDX query language
- Using the Internet Order Count
and much more...

This video is part of LearnItFirst's SQL Server 2008/R2 Analysis Services course. More information on this video and course is available here:
http://www.learnitfirst.com/Course165
In this video, Scott will show you how to create Basic reports using an analysis services cube. You will see the process behind creating reports in Reporting Services and how to effectively customize them to your needs.
Highlights from this video:
- How do you make a connection?
- Shared vs Non-shared
- Selecting and sorting data
- Export data to excel, word, etc.
- Using Report Wizard
and much more...

This video is part of TFS 2010 Enterprise installation and Configuration Guide, for more information about the full guide, visit the guide on Codeplex
http://tfs10enterprise.codeplex.com/
For the cases demanding high fidelity migration for work-items, the post TFS 2017 Migration To VSTS with VSTS Sync Migrator describes the migration without any limitations for migrating links, attachments or work items, have a look on the following post:
http://mohamedradwan.com/2017/09/15/tfs-2017-migration-to-vsts-with-vsts-sync-migrator/

Use Microsoft SQL Server 2012 Analysis Services to automatically generate and populate a time, date, or calendar dimension table. This type of dimension is commonly used in business analytics applications such as sales reporting. Software engineering tutorial.

This video is part of LearnItFirst's SQL Server 2008/R2 Analysis Services course. More information on this video and course is available here:
http://www.learnitfirst.com/Course165
This is the final video in chapter three. In this video Scott will go over clustering in Analysis Services.
Highlights from this video:
- Failover clustering
- Automatic recovery in event of server failure
- High-availability cluster
- Two node cluster
-Four node cluster
- Active node
- Virtual server name
- How to install an SSAS cluster
and much more...

SQL Server Analysis Services SSAS is the technology from the Microsoft Business Intelligence stack, to develop Online Analytical Processing OLAP solutions. In simple terms, you can use SSAS to create cubes using data from data marts / data warehouse for deeper and faster data analysis.
Cubes are multi-dimensional data sources which have dimensions and facts also known as measures as its basic constituents. From a relational perspective dimensions can be thought of as master tables and facts can be thought of as measureable details. These details are generally stored in a pre-aggregated proprietary format and users can analyze huge amounts of data and slice this data by dimensions very easily. Multi-dimensional expression - MDX is the query language used to query a cube, similar to the way T-SQL is used to query a table in SQL Server.
In this tutorial we will step through a number of topics
Creating and deploying a cube
Extend hierarchies and exploit advanced dimension relationships
Configuring many-to-many dimension relationships
Building aggregations
Implement Key Performance Indicators to monitor business objectives
Cube storage mode - MOLAP, ROLAP and HOLAP
Implementing an action to open a Reporting
Services report or to analyse data using Excel
Automating cube processing with an XMLA script
MDX Query language
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Portion of a 7-part series on the Microsoft Virtual Academy on upgrading all components of SQL Server. Sessions are presented by John Martin from Microsoft UK, and Richard Waymire, Ron Talmage, Jim Miller & Paul Turley from SolidQ, authors of the SQL Server 2014 Upgrade Guide. Topics presented by Jim & Paul apply to SQL Server 2012 and 2014.
The entire series is : http://tinyurl.com/lqa5z6o

Uploading contracts to an online database should not take too long, and with the right solution, there should be a way to quickly drag and drop them into folders. Of course, the contract management team may want to give some thought as to how those folders are categorized. In some industries, it may make sense to classify them by agreement type, whereas in others they may need to be grouped by timeframe or date. It is obviously important to do what makes sense for your company and to ensure everyone understands the classification system that is instituted. With this sort of well-oiled system in place, it is a lot easier to keep a handle on things.

Divide and Conquer.
This is another area that is very industry-dependent, but it is highly unlikely that any company can afford to have an entire contract team devoted to managing one portfolio. More than likely, it is more realistic to divvy up the team and the contracts so that there is a leader for each relevant sphere. The entire team will obviously have to coordinate and communicate, but resources must be allocated in the most efficient manner possible. In turn, this will allow for several individuals to keep an eye on a smaller batch of contracts, thereby facilitating those periodic reviews.
Outsource the Tedium to Technology.